Expectations and Requirements of Surgical Staff for an AI-Supported Clinical Decision Support System for Older Patients: Qualitative Study
Abstract BackgroundGeriatric comanagement has been shown to improve outcomes of older surgical inpatients. Furthermore, the choice of discharge location, that is, continuity of care, can have a fundamental impact on convalescence. These challenges and demands have led to the S...
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JMIR Publications
2024-12-01
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| Series: | JMIR Aging |
| Online Access: | https://aging.jmir.org/2024/1/e57899 |
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| author | Adriane Uihlein Lisa Beissel Anna Hanane Ajlani Marcin Orzechowski Christoph Leinert Thomas Derya Kocar Carlos Pankratz Konrad Schuetze Florian Gebhard Florian Steger Marina Liselotte Fotteler Michael Denkinger |
| author_facet | Adriane Uihlein Lisa Beissel Anna Hanane Ajlani Marcin Orzechowski Christoph Leinert Thomas Derya Kocar Carlos Pankratz Konrad Schuetze Florian Gebhard Florian Steger Marina Liselotte Fotteler Michael Denkinger |
| author_sort | Adriane Uihlein |
| collection | DOAJ |
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Abstract
BackgroundGeriatric comanagement has been shown to improve outcomes of older surgical inpatients. Furthermore, the choice of discharge location, that is, continuity of care, can have a fundamental impact on convalescence. These challenges and demands have led to the SURGE-Ahead project that aims to develop a clinical decision support system (CDSS) for geriatric comanagement in surgical clinics including a decision support for the best continuity of care option, supported by artificial intelligence (AI) algorithms.
ObjectiveThis qualitative study aims to explore the current challenges and demands in surgical geriatric patient care. Based on these challenges, the study explores the attitude of interviewees toward the introduction of an AI-supported CDSS (AI-CDSS) in geriatric patient care in surgery, focusing on technical and general wishes about an AI-CDSS, as well as ethical considerations.
MethodsIn this study, 15 personal interviews with physicians, nurses, physiotherapists, and social workers, employed in surgical departments at a university hospital in Southern Germany, were conducted in April 2022. Interviews were conducted in person, transcribed, and coded by 2 researchers (AU, LB) using content and thematic analysis. During the analysis, quotes were sorted into the main categories of geriatric patient care, use of an AI-CDSS, and ethical considerations by 2 authors (AU, LB). The main themes of the interviews were subsequently described in a narrative synthesis, citing key quotes.
ResultsIn total, 399 quotes were extracted and categorized from the interviews. Most quotes could be assigned to the primary code challenges in geriatric patient caremedical challengeschances of an AI-CDSSholistic patient overviewlimits of an AI-CDSStechnical wishesintuitive usabilitymobile availability and easy accessethical aspects of an AI-CDSScritical positiontrust in an AI-CDSSrespecting the patient’s will and individual situationresponsibility remaining in the hands of humans
ConclusionsSupport regarding medical geriatric challenges and responsible handling of AI-based recommendations, as well as necessity for a holistic approach focused on usability, were the most important topics of health care professionals in surgery regarding development of an AI-CDSS for geriatric care. These findings, together with the wish to preserve the patient-caregiver relationship, will help set the focus for the ongoing development of AI-supported CDSS. |
| format | Article |
| id | doaj-art-d28ab8e8b89048fca04550e907092995 |
| institution | DOAJ |
| issn | 2561-7605 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | JMIR Publications |
| record_format | Article |
| series | JMIR Aging |
| spelling | doaj-art-d28ab8e8b89048fca04550e9070929952025-08-20T02:51:16ZengJMIR PublicationsJMIR Aging2561-76052024-12-017e57899e5789910.2196/57899Expectations and Requirements of Surgical Staff for an AI-Supported Clinical Decision Support System for Older Patients: Qualitative StudyAdriane Uihleinhttp://orcid.org/0009-0000-6469-0846Lisa Beisselhttp://orcid.org/0009-0008-7943-9783Anna Hanane Ajlanihttp://orcid.org/0009-0000-9305-9578Marcin Orzechowskihttp://orcid.org/0000-0003-4244-7989Christoph Leinerthttp://orcid.org/0000-0001-6638-1780Thomas Derya Kocarhttp://orcid.org/0009-0001-5842-5146Carlos Pankratzhttp://orcid.org/0000-0002-0438-537XKonrad Schuetzehttp://orcid.org/0000-0002-6607-2539Florian Gebhardhttp://orcid.org/0009-0000-3279-8633Florian Stegerhttp://orcid.org/0000-0001-8108-1591Marina Liselotte Fottelerhttp://orcid.org/0000-0002-1225-1857Michael Denkingerhttp://orcid.org/0000-0002-8097-060X Abstract BackgroundGeriatric comanagement has been shown to improve outcomes of older surgical inpatients. Furthermore, the choice of discharge location, that is, continuity of care, can have a fundamental impact on convalescence. These challenges and demands have led to the SURGE-Ahead project that aims to develop a clinical decision support system (CDSS) for geriatric comanagement in surgical clinics including a decision support for the best continuity of care option, supported by artificial intelligence (AI) algorithms. ObjectiveThis qualitative study aims to explore the current challenges and demands in surgical geriatric patient care. Based on these challenges, the study explores the attitude of interviewees toward the introduction of an AI-supported CDSS (AI-CDSS) in geriatric patient care in surgery, focusing on technical and general wishes about an AI-CDSS, as well as ethical considerations. MethodsIn this study, 15 personal interviews with physicians, nurses, physiotherapists, and social workers, employed in surgical departments at a university hospital in Southern Germany, were conducted in April 2022. Interviews were conducted in person, transcribed, and coded by 2 researchers (AU, LB) using content and thematic analysis. During the analysis, quotes were sorted into the main categories of geriatric patient care, use of an AI-CDSS, and ethical considerations by 2 authors (AU, LB). The main themes of the interviews were subsequently described in a narrative synthesis, citing key quotes. ResultsIn total, 399 quotes were extracted and categorized from the interviews. Most quotes could be assigned to the primary code challenges in geriatric patient caremedical challengeschances of an AI-CDSSholistic patient overviewlimits of an AI-CDSStechnical wishesintuitive usabilitymobile availability and easy accessethical aspects of an AI-CDSScritical positiontrust in an AI-CDSSrespecting the patient’s will and individual situationresponsibility remaining in the hands of humans ConclusionsSupport regarding medical geriatric challenges and responsible handling of AI-based recommendations, as well as necessity for a holistic approach focused on usability, were the most important topics of health care professionals in surgery regarding development of an AI-CDSS for geriatric care. These findings, together with the wish to preserve the patient-caregiver relationship, will help set the focus for the ongoing development of AI-supported CDSS.https://aging.jmir.org/2024/1/e57899 |
| spellingShingle | Adriane Uihlein Lisa Beissel Anna Hanane Ajlani Marcin Orzechowski Christoph Leinert Thomas Derya Kocar Carlos Pankratz Konrad Schuetze Florian Gebhard Florian Steger Marina Liselotte Fotteler Michael Denkinger Expectations and Requirements of Surgical Staff for an AI-Supported Clinical Decision Support System for Older Patients: Qualitative Study JMIR Aging |
| title | Expectations and Requirements of Surgical Staff for an AI-Supported Clinical Decision Support System for Older Patients: Qualitative Study |
| title_full | Expectations and Requirements of Surgical Staff for an AI-Supported Clinical Decision Support System for Older Patients: Qualitative Study |
| title_fullStr | Expectations and Requirements of Surgical Staff for an AI-Supported Clinical Decision Support System for Older Patients: Qualitative Study |
| title_full_unstemmed | Expectations and Requirements of Surgical Staff for an AI-Supported Clinical Decision Support System for Older Patients: Qualitative Study |
| title_short | Expectations and Requirements of Surgical Staff for an AI-Supported Clinical Decision Support System for Older Patients: Qualitative Study |
| title_sort | expectations and requirements of surgical staff for an ai supported clinical decision support system for older patients qualitative study |
| url | https://aging.jmir.org/2024/1/e57899 |
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